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OpenClaw

Intelligence Ingestion

Auto-analyze URLs/info for OpenClaw strategic value, classify, create Obsidian notes, update memory. Use when user shares a URL, article, tweet, or any external info source.

2233admin0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install 2233admin/openclaw-skill-intelligence-ingestion

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Intelligence Ingestion Skill

When the user shares a URL, article, tweet, thread, or any piece of external information, execute this pipeline automatically. Do NOT ask for permission — just process it.

Trigger Conditions

USE this skill when:

  • User sends a URL (x.com, github.com, any domain)
  • User pastes article text or tweet content
  • User says "analyze this", "evaluate this", "what do you think about this"
  • User forwards content from Telegram or any messaging surface
  • User shares something and asks about strategic value

DO NOT USE when:

  • User is asking a general question unrelated to external content
  • User is asking about internal workspace files
  • User explicitly says they don't want analysis

Pipeline Steps

Step 1: READ — Extract Content
  1. If a URL is provided, read the full content (use read_url_content or browser)
  2. If text is pasted, use it directly
  3. If X/Twitter link fails to parse (common), search web for the tweet content
Step 2: CLASSIFY — What Is This?

Assign one primary category and up to 2 secondary tags:

Category Description Examples
infra Infrastructure / protocols / networking Pilot Protocol, MCP, networking stacks
strategy Routing / cost / architecture decisions Model routing, multi-account, fallback chains
skill Agent skills / tools / capabilities OpenAI Skills, Skill design patterns
theory Conceptual frameworks / mental models Bayes, decision theory, learning loops
tutorial How-to guides / learning material Claude Code, OpenClaw tutorials
product Tools / apps / services LM Studio, new AI models, apps
community OpenClaw ecosystem / discussions Community posts, feature requests
threat Risks / security / deprecation API changes, breaking updates, security alerts
Step 3: ANALYZE — Strategic Value Assessment

For each piece of information, evaluate:

## Strategic Asses...

Source information

Source
github
Repository
openclaw/skills
Path
skills/2233admin/openclaw-skill-intelligence-ingestion
Version
—
Commit
506e6b681249ada7d6ed3a88b199316881403ab6
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

OpenClaw Skill: Intelligence Ingestion

Auto-analyze URLs and external information for strategic value.

Pipeline: READ -> CLASSIFY -> ANALYZE -> MAP -> STORE -> REMEMBER -> RESPOND

Why

Most users do not need more content. They need better filtering. This skill turns noisy external information into structured, actionable intelligence.

Quick Start

# 1) Install
openclaw skills install github:sarahmirrand001-oss/openclaw-skill-intelligence-ingestion

# 2) Trigger
Analyze this: https://example.com/article

# 3) Verify
# - Obsidian note created
# - memory/YYYY-MM-DD.md updated
# - response includes category + strategic value

What It Produces

  • Structured Obsidian note
  • Daily memory log update
  • Strategic value score (Critical/High/Medium/Low)
  • Next action recommendation

Main Files

  • SKILL.md: skill behavior and 7-step pipeline
  • index.html: public landing page for sharing
  • vercel.json: static deployment config

Deploy

This repo is static-site ready for Vercel.

vercel --prod

Extracted content

SKILL.md
# Intelligence Ingestion Skill

When the user shares a URL, article, tweet, thread, or any piece of external information, execute this pipeline automatically. Do NOT ask for permission — just process it.

## Trigger Conditions

**USE this skill when:**
- User sends a URL (x.com, github.com, any domain)
- User pastes article text or tweet content
- User says "analyze this", "evaluate this", "what do you think about this"
- User forwards content from Telegram or any messaging surface
- User shares something and asks about strategic value

**DO NOT USE when:**
- User is asking a general question unrelated to external content
- User is asking about internal workspace files
- User explicitly says they don't want analysis

## Pipeline Steps

### Step 1: READ — Extract Content
1. If a URL is provided, read the full content (use `read_url_content` or browser)
2. If text is pasted, use it directly
3. If X/Twitter link fails to parse (common), search web for the tweet content

### Step 2: CLASSIFY — What Is This?
Assign **one primary category** and up to 2 secondary tags:

| Category | Description | Examples |
|----------|------------|---------|
| `infra` | Infrastructure / protocols / networking | Pilot Protocol, MCP, networking stacks |
| `strategy` | Routing / cost / architecture decisions | Model routing, multi-account, fallback chains |
| `skill` | Agent skills / tools / capabilities | OpenAI Skills, Skill design patterns |
| `theory` | Conceptual frameworks / mental models | Bayes, decision theory, learning loops |
| `tutorial` | How-to guides / learning material | Claude Code, OpenClaw tutorials |
| `product` | Tools / apps / services | LM Studio, new AI models, apps |
| `community` | OpenClaw ecosystem / discussions | Community posts, feature requests |
| `threat` | Risks / security / deprecation | API changes, breaking updates, security alerts |

### Step 3: ANALYZE — Strategic Value Assessment

For each piece of information, evaluate:

```markdown
## Strategic Asses...
README
# OpenClaw Skill: Intelligence Ingestion

Auto-analyze URLs and external information for strategic value.

Pipeline: **READ -> CLASSIFY -> ANALYZE -> MAP -> STORE -> REMEMBER -> RESPOND**

## Why

Most users do not need more content. They need better filtering.
This skill turns noisy external information into structured, actionable intelligence.

## Quick Start

```bash
# 1) Install
openclaw skills install github:sarahmirrand001-oss/openclaw-skill-intelligence-ingestion

# 2) Trigger
Analyze this: https://example.com/article

# 3) Verify
# - Obsidian note created
# - memory/YYYY-MM-DD.md updated
# - response includes category + strategic value
```

## What It Produces

- Structured Obsidian note
- Daily memory log update
- Strategic value score (Critical/High/Medium/Low)
- Next action recommendation

## Main Files

- `SKILL.md`: skill behavior and 7-step pipeline
- `index.html`: public landing page for sharing
- `vercel.json`: static deployment config

## Deploy

This repo is static-site ready for Vercel.

```bash
vercel --prod
```

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